CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts

Ayah Zirikly, Philip Resnik, Özlem Uzuner, Kristy Hollingshead


Abstract
The shared task for the 2019 Workshop on Computational Linguistics and Clinical Psychology (CLPsych’19) introduced an assessment of suicide risk based on social media postings, using data from Reddit to identify users at no, low, moderate, or severe risk. Two variations of the task focused on users whose posts to the r/SuicideWatch subreddit indicated they might be at risk; a third task looked at screening users based only on their more everyday (non-SuicideWatch) posts. We received submissions from 15 different teams, and the results provide progress and insight into the value of language signal in helping to predict risk level.
Anthology ID:
W19-3003
Volume:
Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Venue:
CLPsych
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
24–33
Language:
URL:
https://aclanthology.org/W19-3003
DOI:
10.18653/v1/W19-3003
Bibkey:
Cite (ACL):
Ayah Zirikly, Philip Resnik, Özlem Uzuner, and Kristy Hollingshead. 2019. CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, pages 24–33, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts (Zirikly et al., CLPsych 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-3003.pdf